Zobrazeno 1 - 10
of 84
pro vyhledávání: '"TACCHELLA ANDREA"'
Tree-based machine learning algorithms provide the most precise assessment of the feasibility for a country to export a target product given its export basket. However, the high number of parameters involved prevents a straightforward interpretation
Externí odkaz:
http://arxiv.org/abs/2212.03094
Autor:
Miccheli, Marco, Leban, Andrej, Tacchella, Andrea, Zaccaria, Andrea, Mazzilli, Dario, Bratières, Sébastien
Translation Quality Assessment (TQA) is a process conducted by human translators and is widely used, both for estimating the performance of (increasingly used) Machine Translation, and for finding an agreement between translation providers and their
Externí odkaz:
http://arxiv.org/abs/2203.07135
Autor:
Angelini, Orazio, Gabrielli, Andrea, Tacchella, Andrea, Zaccaria, Andrea, Pietronero, Luciano, Di Matteo, T.
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena July 2024 184
Economic complexity methods, and in particular relatedness measures, lack a systematic evaluation and comparison framework. We argue that out-of-sample forecast exercises should play this role, and we compare various machine learning models to set th
Externí odkaz:
http://arxiv.org/abs/2105.15018
Relatedness is a quantification of how much two human activities are similar in terms of the inputs and contexts needed for their development. Under the idea that it is easier to move between related activities than towards unrelated ones, empirical
Externí odkaz:
http://arxiv.org/abs/2103.06017
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2023 176
Publikováno v:
Entropy 2018, 20(10), 783
We present a new metric estimating fitness of countries and complexity of products by exploiting a non-linear non-homogeneous map applied to the publicly available information on the goods exported by a country. The non homogeneous terms guarantee bo
Externí odkaz:
http://arxiv.org/abs/1807.10276
Autor:
Pietronero, Luciano, Cristelli, Matthieu, Gabrielli, Andrea, Mazzilli, Dario, Pugliese, Emanuele, Tacchella, Andrea, Zaccaria, Andrea
This note is a contribution to the debate about the optimal algorithm for Economic Complexity that recently appeared on ArXiv [1, 2] . The authors of [2] eventually agree that the ECI+ algorithm [1] consists just in a renaming of the Fitness algorith
Externí odkaz:
http://arxiv.org/abs/1709.05272
Autor:
Gabrielli, Andrea, Cristelli, Matthieu, Mazzilli, Dario, Tacchella, Andrea, Zaccaria, Andrea, Pietronero, Luciano
Recently a measure for Economic Complexity named ECI+ has been proposed by Albeaik et al. We like the ECI+ algorithm because it is mathematically identical to the Fitness algorithm, the measure for Economic Complexity we introduced in 2012. We demons
Externí odkaz:
http://arxiv.org/abs/1708.01161
Diversity is a fundamental feature of ecosystems, even when the concept of ecosystem is extended to sociology or economics. Diversity can be intended as the count of different items, animals, or, more generally, interactions. There are two classes of
Externí odkaz:
http://arxiv.org/abs/1609.03617